To diversify or not to diversify entity summaries on RDF knowledge graphs?

Authors:
Marcin Sydow;Mariusz Pikuła;Ralf Schenkel
Affiliations:
Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland and Polish-Japanese Institute of Information Technology, Warsaw, Poland;Polish-Japanese Institute of Information Technology, Warsaw, Poland;Saarland University and MPI for Informatics, Saarbrücken, Germany
Venue:
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Year:
2011

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Abstract

This paper concerns the issue of diversity in entity summarisation on RDF knowledge graphs. In particular, we study whether and to what extent the notion of diversity is appreciated by real users of a summarisation tool. To this end, we design a user evaluation study and experimentally evaluate and compare, on real data concerning the movie domain (IMDB), two graph-entity summarisation algorithms: PRECIS and DIVERSUM, that were proposed in our recent work. We present successful experimental results showing that diversity-awareness of a graph entity summarisation tool is a valuable feature and that DIVERSUM algorithm receives quite positive user feedback.